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Federated Active Learning for Target Domain Generalisation

Federated Active Learning for Target Domain Generalisation

4 December 2023
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
    OOD
    FedML
ArXivPDFHTML

Papers citing "Federated Active Learning for Target Domain Generalisation"

5 / 5 papers shown
Title
Federated Active Learning (F-AL): an Efficient Annotation Strategy for
  Federated Learning
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
J. Ahn
Yeeun Ma
Seoyun Park
Cheolwoo You
FedML
30
21
0
01 Feb 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
135
287
0
01 May 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
90
119
0
16 Oct 2020
Impact of ImageNet Model Selection on Domain Adaptation
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang
Brian D. Davison
FAtt
OOD
VLM
31
31
0
06 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
245
9,042
0
06 Jun 2015
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